Fractal Analysis of Digital Mammograms

Edis Đedović, Azra Gazibegović-Busuladžić, Adnan Beganović


It has been shown that fractal analysis is useful in image processing, texture analyses and texture image segmentation. It is important to clearly detect edges of breast masses, and precisely locate individual microcalcification in mammograms. We present practical help in that area by fractal analysis, using the concept of fractional Brownian motion. It can be shown that there is a correlation between specific quantitative result of such analysis (Hurst coefficient) and the type of breast mass or tumor.
Keywords: digital mammograms, image segmentation, fractals, fractional Brownian motion, Hurst coefficient.

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